Top Research Jobs in Vancouver

The Research Scientist will develop and enhance simulation agents using advanced machine learning techniques, mentor junior team members, and publish research findings.

As a Research Intern at N1, contribute to market/product or technical research in blockchain, developing analytical skills.

Participants are needed for an AI technology research study, offering compensation up to $600 for ~1.5-2 hours of participation over one week, requiring skills in tech-related roles.

The Senior Research Consultant will advise clients on market research, design studies, interpret results, and integrate AI into research processes.

Design, build, and own end-to-end 3D asset pipelines and tooling for a multi-sensor simulation stack. Architect formats, storage, validation, packaging, and serving for meshes, neural representations, and generative outputs. Create visualization and curation tools at scale, integrate neural rendering and generative research into production, and collaborate with autonomy and safety teams to meet realism and coverage requirements.

Work on designing, implementing, and improving state-of-the-art reinforcement and imitation learning algorithms for dexterous robotic manipulation. Develop RL/IL training and data-collection pipelines, integrate ML models onto robotics platforms, evaluate sim-to-real transfer, and collaborate across teams to deploy algorithms on physical humanoid robots.

Lead development of cutting-edge RL and imitation-learning algorithms for dexterous robotic manipulation, design training and large-batch simulation pipelines, enable sim-to-real transfer, integrate models onto physical robots, and drive research from experimentation to production while mentoring and collaborating across teams.

Conduct exhaustive literature and regulatory reviews, analyze quantitative and qualitative human factors data, design and administer surveys, support flight-simulator data collection, perform technical writing and editing, and compile findings into structured technical reports.

The Research Assistant will perform bioanalytical assays, process data, maintain lab equipment, and prepare study reports while adhering to safety protocols.

The Research Scientist will plan and execute DMPK assays, perform data analysis, develop methods, and coordinate with study teams, supporting drug discovery and regulatory projects.

Build and scale core research infrastructure and agentic systems across backend, frontend, and model integrations. Own reliability, observability, and performance; ship research-proven features to production rapidly and develop shared tools and SDKs to accelerate Research, QA, and Engineering.

The role involves designing and implementing machine learning systems for knowledge representation and temporal reasoning, focusing on organizational intelligence. Responsibilities include building LLM-powered pipelines, developing memory algorithms, and researching various ML techniques.

Execute and troubleshoot mammalian cell culture and molecular biology workflows (cloning, nucleic acid prep, RNA assays). Produce and deploy viral vectors (lentiviral, AAV), perform CRISPR genome editing and perturbation screens, develop cell-based assays and phenotypic readouts, support mouse studies and tissue processing, maintain ELN documentation and SOPs, and generate high-quality data for target identification and therapeutic validation.

The Lab & Research Assistant will perform immunoassays, prepare laboratory materials, maintain records, support lab operations, and collaborate with scientists.

The Statistical Programmer develops, maintains, and validates datasets and reports for clinical trials, ensuring high-quality deliverables while adhering to industry standards and guidelines.

Own territory sales for the Cellular and Molecular Research portfolio, manage key customer relationships, and drive revenue for instruments and consumables. Develop and execute strategic account and territory plans, identify cross-product opportunities, collaborate with product specialists and field scientists, and use CRM to manage pipeline and forecasts.

Manage site selection, initiation, monitoring (remote and onsite), and closure for assigned clinical study sites. Ensure ICH-GCP and sponsor compliance, maintain study documentation (eTMF, ISF), perform SDV/SDR/CRF review, manage drug accountability, support audits/inspections, update CTMS, resolve queries, and drive site performance while collaborating with local study teams and stakeholders.

Lead the design and development of software for quantum machine learning methods. Collaborate with researchers and communicate findings. Oversee best practices in machine learning systems and influence product offerings.

The Senior Editor, Research & Intelligence will gather and analyze audience insights to shape content and strategy, driving measurable growth and improving audience engagement through insight-driven recommendations and reporting.

The role involves designing AI models and training methods leveraging wafer-scale hardware and collaborating with various teams and partners in AI and computational science.

Lead applied research on continual learning, fast adaptation, memory, and transfer learning for agentic systems. Own end-to-end pipeline from data generation to evaluation and product integration, run experiments, produce code, and drive research strategy while mentoring and managing a small team.

Lead applied research on spatial reasoning, geometric and physical world modeling. Own data generation, evaluation, and product integration. Implement experiments, build production code, and drive research strategy in 3D, multimodal, simulation, and related domains.

Assist research staff in planning, executing, and analyzing experiments. Collect and interpret data, maintain lab equipment, participate in sample procurement, present findings, and learn tissue preservation and processing techniques through hands-on laboratory work and partner lab visits.

Design and optimize high-performance kernels and custom operators for attention, MoE, GEMM, quantization and collective communication across NVIDIA, AMD and AWS Trainium. Improve LLM inference runtimes, develop distributed training/inference solutions at scale, use compilers and SDKs (Neuron, Torch Dynamo, PyTorch/XLA), contribute to open-source, and publish technical findings.

The Forward Deployed Research Scientist engages directly with AI labs to develop data strategies, fine-tune models, run experiments, and collaborate on publishing research, all in a fast-paced client-focused setting.